Abstract: An aircraft identification method based on weighted area was proposed to distinguish different aircrafts by means of the difference of their structures. Firstly,obtain the head,wing and tail of the aircraft using the multi-scale and multi-direction characters of Gabor transform,extract the features of the three areas and recognise them respectively,then distribute the weight for the three regional according to the different regional contribution to the aircrafts’ global features,finally combine with the weight of the recognition results in different regions to get the final aircraft type. The results show that this method has a higher recognition rate than traditional support vector machine and neural network methods under the same order of magnitude recognition time conditions and a strong anti-overlap effect,so it is an effective method of aircraft target recognition in this paper.

Key words: Gabor transform,Feature extraction,Weight,Anti-overlap,Recognition rate